Maker AI MCP

io.github.rocnubie由 GitHub 账号 rocnubie 发布v0.1.0更新于 Oct 24, 2026

Create product photos, product videos, and UGC-style ads for Shopify, Amazon, TikTok, and

已验证STDIO仅桌面商业与电商媒体与设计

概览

AI 生成的概览

向 MCP 客户端提供 Maker AI 的只读参考内容:视频模式、定价、常见问题与官方链接。

可以做什么
该服务器把 Maker AI 的官方知识以 MCP 工具和资源的形式提供出来。工具包括 list_video_modes、get_pricing 和 get_official_links,均返回文本或 markdown。资源涵盖视频生成模式、定价、简短常见问题与官方链接,另有两个提示词可帮助概述产品,或按创作意图选择视频模式。它是只读的,本身不生成图片或视频。
适用场景
当助手需要关于 Maker AI 视频生成模式、定价入口或官方链接的准确、最新信息时使用,例如比较电商内容工具或撰写需求简报时。若只想生成产品图片或视频,则无需安装,因为它不执行生成。
运行要求
作为 stdio 本地进程运行在桌面 MCP 客户端上,例如 Claude Desktop、Cursor、Windsurf 或 Continue。可通过 Smithery CLI 安装,或用 Node.js 与 pnpm 从源码安装。未声明需要 API 密钥、账号或环境变量。
安装前请注意
该服务器被描述为只读、无需 API 密钥且无配额,也不会创建或修改内容。它返回官方链接与定价指引,依赖前请在官方网站核实当前价格与条款。未要求任何凭据或写入操作。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Maker AI MCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

Maker AI MCP Server

Maker AI - AI Product Photo, Video & Ad Generator for Ecommerce

[MCP Badge] [License: MIT] [Node] [smithery] [MCP] [Stdio Transport] [Read Only]

[Maker AI]

A Model Context Protocol server that exposes the canonical Maker AI knowledge surface — video generation workflows, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.

Official website: https://makerai.online

🎬 About Maker AI

Maker AI is an AI-powered creative studio built for ecommerce brands that need product content at scale. Users upload a product photo or paste a Shopify or Amazon store URL, and the platform generates studio-quality product images, short-form video ads, and UGC-style clips from that single input. Rather than coordinating photographers, video editors, and content creators separately, teams can produce all three content formats in one workflow. The platform draws on more than sixteen video generation models — including Sora, Kling, and Veo — selecting the appropriate model automatically based on the task. The result is a faster creative loop that lets brands test more variations without proportionally increasing production effort.

Key Features

  • Multi-format output from one upload — a single product photo or store URL produces studio photos, video ads, and UGC-style clips without separate workflows for each format.
  • 16+ video model access — the platform routes generation tasks to the most suitable model automatically, covering Sora, Kling, Veo Fast, and others without requiring manual model selection.
  • 1,000+ AI avatar library — UGC-style clips can feature realistic digital humans speaking in multiple languages including Spanish, French, German, Arabic, Russian, Korean, and Japanese, removing the need to hire or brief human creators.
  • Platform-optimized export — content is formatted with native aspect ratios and pacing for TikTok, Instagram Reels, YouTube Shorts, Amazon listings, and Shopify product pages.
  • Proven ad hook templates — a library of structured templates based on high-performing ad formats helps teams produce on-brand creative without starting from a blank slate.
  • Inspiration library — ready-made examples demonstrate what finished outputs look like across different product categories and platforms, useful for briefing or for direct adaptation.

Use Cases

  • An Amazon seller needs fresh product listing images and short video clips for a seasonal campaign but lacks an in-house studio; they paste the product URL and export platform-ready assets the same day.
  • A DTC brand running paid social wants to A/B test six ad hook variations for a new product launch without engaging an agency for each iteration.
  • An ecommerce team expanding into French and Spanish markets generates localized UGC-style videos with AI avatars speaking each language rather than coordinating separate creator shoots.
  • A Shopify store owner wants professional-looking background-swapped product photos to replace raw supplier images on their product pages.
  • A growth team wants to refresh ad creative weekly to counter fatigue without increasing the content production budget.

Who Is It For

Maker AI targets ecommerce operators who produce product content regularly and feel the friction of traditional production. The primary users are DTC brand owners, Amazon sellers, and in-house ecommerce growth teams at product-focused companies. It suits teams that run paid social campaigns, manage multiple product SKUs, or sell across several international markets — situations where the volume and variety of required content outpaces what a small team can produce through conventional means. Freelancers and small agencies managing multiple ecommerce clients will also find the multi-format workflow useful for keeping per-client production costs contained.

Tools

list_video_modes

Return the canonical list of video-generation modes the site supports. (Maker AI)

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for Maker AI.

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for Maker AI (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • site://makerai/video-modes — Available video-generation modes (text-to-video, image-to-video, etc.).
  • site://makerai/pricing — Canonical pricing entry point.
  • site://makerai/faq — Short FAQ generated from public site metadata.
  • site://makerai/links — Canonical URLs to share with users.

Prompts

tell_me_about_makerai

Summarize what the site is, who it's for, and how it works. — Maker AI

try_video_mode_makerai

Pick a video-generation mode for a stated creative intent. — Maker AI

Installation

Install via Smithery

bash
npx -y @smithery/cli install makerai-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

bash
git clone https://github.com/rocnubie/makerai-mcp.gitcd makerai-mcppnpm install

Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):

json
{  "mcpServers": {    "makerai-mcp": {      "command": "node",      "args": [        "/absolute/path/to/makerai-mcp/src/index.mjs"      ]    }  }}

Debug with MCP Inspector

bash
npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

Development

bash
pnpm installpnpm start                 # run the server over stdio

License

MIT

来源:README.md,提交 8c56720

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.0最新Sep 16, 2026

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